Key clinical point: The existence of racial disparity in liver allograft distribution is undisputed. Disagreements persist over optimal allocation schemes, with centers using different schemes.

Major finding: A rigorous causal inference statistic on a large national dataset spanning at least 30 years showed that racial disparities by region persist despite multiple allocation schemes.

Study details: Patients from the United Network for Organ Sharing Standard Transplant Analysis and Research database (1985-2016) were used to assess causal inference of racial and regional disparities.

Racial and regional disparities in liver transplant allocation persist despite multiple allocation schemes as identified in a large dataset spanning at least 30 years, according to a study.

The Model for End-Stage Liver Disease (MELD) score was put forth in 1998 by the Organ Procurement and Transplantation Network under the guidance of the Centers for Medicare & Medicaid Services and the Department of Health & Human Services, to indicate that organs should be allocated to the sickest patients as interpreted by the MELD score. Since then, four separate liver allocation systems are being followed across the country owing to disagreements over a universal allocation scheme. These include MELD score, the initial three-tier UNOS (United Network for Organ Sharing) Status, Share 35, and now MELD Na.

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Unfavorable supply and demand ratios for liver allograft allocation persist across the country with differential and limited access to care, which leads to decreased wellness, lower life expectancies, and higher baseline morbidity and mortality rates in some areas. Furthermore, a short cold storage capacity of liver allografts limits greater allocation and distribution schema.

Dominique J. Monlezun, MD, PhD, MPH, and his colleagues at the Tulane Transplant Institute at Tulane University, New Orleans, evaluated the effect of MELD and other allocation schemes on the incidence of racial and regional disparities in a study published in Surgery. They performed fixed-effects multivariate logistic regression augmented by modified forward and backward stepwise-regression of transplanted patients from the United Network for Organ Sharing Standard Transplant Analysis and Research database (1985-2016) to assess causal inference of such disparities.